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SEPARATE & SPECIALIZED
Not just another chat. A research environment.

Deep Agent is a standalone research tool — separate from Chat Studio and AI Lab. Connect your own data sources directly. Build RAG pipelines. Conduct deep investigations.

Purpose-built for research: Document analysis, knowledge synthesis, competitive intelligence, literature review, due diligence. When you need to go deep, not just query.

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Training Knowledge Base

Teaching Calliope about your data

Files Being Learned
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schema_documentation.md
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example_queries.sql
18 KB • SQL
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business_glossary.csv
8 KB • CSV
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api_documentation.json
156 KB • JSON
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Concepts Learned
Knowledge Graph
users table orders relation product schema inventory FK analytics views date partitions customer_id index revenue metrics
DEEP AGENT

Use Cases

ROOT CAUSE ANALYSIS
“Why did conversion rates drop last month?” Deep Agent investigates across marketing data, product analytics, support tickets, and competitive intelligence to identify contributing factors.
CUSTOMER INTELLIGENCE
“Which enterprise accounts are at risk?” Deep Agent analyzes usage patterns, support interactions, billing history, and engagement metrics to identify warning signs.
MARKET RESEARCH
“How does our pricing compare to competitors, and what’s the impact on win rates?” Deep Agent correlates pricing data with sales outcomes and competitive intelligence.
OPERATIONAL ANALYSIS
“Where are the bottlenecks in our fulfillment process?” Deep Agent examines order data, inventory levels, shipping times, and customer complaints to identify constraints.
Use Cases Illustration
What Deep Agent provides:
Your dedicated AI research environment.
Try Deep Agent
Independent data connections
Connect sources directly to Deep Agent. Separate from Lab datasets.
RAG pipelines
Retrieval-augmented generation for document-heavy research and analysis.
Multi-step reasoning
Breaks complex questions into sub-queries, synthesizes results.
Knowledge management
Build persistent knowledge bases. Accumulate research over time.
Deep research
Literature review, competitive analysis, due diligence investigations.
Governed & audited
Full logging. Policy enforcement. Enterprise-ready.
Deep Agent Capabilities
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Multi-Source Connectivity
Connect to SQL databases, NoSQL stores, REST APIs, file systems, and vector databases. Deep Agent queries them all to find answers.
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Iterative Analysis
Deep Agent doesn’t stop at the first answer. It validates findings, tests alternatives, and refines conclusions through multiple iterations.
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Visualization Generation
Automatically generates charts, graphs, and dashboards to communicate findings. Publication-ready outputs.

What is Deep Agent?

Deep Agent is Calliope’s autonomous AI agent for complex data analysis. Unlike simple query tools that execute one question at a time, Deep Agent conducts multi-step investigations across your data sources — planning queries, correlating results, and synthesizing insights automatically.

Simple Questions vs. Deep Questions

Most data tools are built for simple questions:

  • “How many users signed up last month?”
  • “What’s our revenue by region?”
  • “Show me the top 10 products by sales.”

These questions have direct answers. One query, one result.

But the questions that actually drive business decisions are complex:

  • “Why did engagement drop in Q3, and what should we do about it?”
  • “Which customer segments are at risk of churning, and what are the leading indicators?”
  • “How does our product usage compare to support ticket volume, and what does that tell us about feature quality?”

These questions require investigation. Multiple queries. Cross-referencing data sources. Testing hypotheses. Synthesizing findings.

Deep Agent automates this investigation process.

How Deep Agent Works

When you give Deep Agent a complex question, it:

  1. Plans the investigation — Breaks the question into component queries and identifies relevant data sources
  2. Executes queries — Runs SQL, API calls, and searches across your connected data sources
  3. Analyzes results — Looks for patterns, correlations, anomalies, and trends
  4. Iterates — Asks follow-up questions based on initial findings
  5. Synthesizes — Combines findings into a coherent analysis with supporting evidence
  6. Presents — Generates visualizations and narrative explanations

Throughout this process, Deep Agent shows its work. Every query, every intermediate result, every reasoning step is logged and auditable.

Enterprise-Grade Security

Deep Agent operates within your security perimeter:

  • Permission-aware — Only accesses data the user is authorized to see
  • Audit logging — Every query and result is logged for compliance
  • Policy enforcement — Zentinelle policies govern what Deep Agent can access and do
  • Data residency — Runs in your cloud or on-premise; data never leaves your control

Deep Agent vs. Generic AI

Generic AI chatbots can answer questions about data — if you paste the data into the chat. Deep Agent connects directly to your data sources, respects your permissions, and operates within your security model.

The difference: Generic AI is a smart colleague you have to manually brief. Deep Agent is a smart colleague with secure access to your systems.

Stop skimming the surface. Start finding real insights.

Deep Agent gives your team the analytical horsepower to tackle questions that matter — with the governance to do it safely.

Get Started